Vehicle Rear Vision

Peter Ma

Peter Ma

San Francisco

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  • 0 Collaborators

Building out Vehicle Rear Camera vision using Intel Joule and RealSense Camera ...learn more

Mobile, Robotics, RealSense™, Internet of Things

Groups
Movidius™ Neural Compute Group

Overview / Usage

Why do we build Vehicle Rear Vision?
Back-up collision has been a major problems, The U.S. Center for Disease Control reported that from 2001–2003, an estimated 7,475 children (2,492 per year) under the age of 15 were treated for automobile back-over incidents. About 300 fatalities per year result from backup collisions. By 2018 all the cars sold in United States will require a mandatory backup camera.

How do we solve the problem?
Most of the cars in the market today still do not have backup camera, that includes about half of the the cars that's being sold in the US today, and much more than half across the globe. We can solve this problem by installing a camera on the back of the car, using the space of license plate.

Walabot will be able to detect the distance of the target closest to the vehicle.

Intel RealSense R200 camera will give us a greater detail on what's being seen, including low light situation.

Intel Joule developer kit is powerful enough to run RealSense cameras along with Walabot. Raspberry Pi isn't powerful enough to run a RealSense 3D camera, in which we can add a lot more features in the future that can improve functionalities of the car. Same version can be used with Pi with a normal USB camera, but it won't be good for night time.

Android phone/tablet being used to display the Backup Camera, this is to reduce the cost of an additional screen. iOS version can be built upon request.

Through of those components, we will be able to build an Rear End Vision that shows user the back of the car.

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